Σύγκριση μεθόδων

	Μοντέλο Αξιοπιστίας Λογισμικού	Μετρικές πολυπλοκότητας λογισμικού
Πεδίο	Τεχνολογία Λογισμικού	Τεχνολογία Λογισμικού
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1979	1976
Δημιουργός	Alok Goel and Kazuhira Okumoto	Thomas J. McCabe
Τύπος	stochastic model	quantitative measurement
Θεμελιώδης πηγή	Goel, A. L., & Okumoto, K. (1979). Time-dependent error-detection rate model for software reliability and other performance measures. IEEE Transactions on Reliability, 28(3), 206–211.	McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320.
Εναλλακτικές ονομασίες	reliability growth model, failure rate prediction, SRGM	code complexity analysis, complexity measurement
Συναφείς	4	4
Σύνοψη	Software reliability models predict the behavior of failure rates during testing and operation, estimating when software achieves required reliability targets. Introduced by Goel and Okumoto (1979), these stochastic models capture how defect discovery declines as testing progresses. Organizations use reliability models to forecast release readiness, estimate testing duration, and validate quality achievement.	Software complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts.